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  • CAIS Seminar: Daniel Leightley (King’s Centre for Military Health Research) - Drinks: Ration: Managing Alcohol Misuse by Automation

    Wed, Feb 03, 2021 @ 01:00 PM - 02:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Daniel Leightley, King's Centre for Military Health Research and the NIHR Biomedical Research Centre

    Talk Title: Drinks: Ration: Managing Alcohol Misuse by Automation

    Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series

    Abstract: Technological advances within smart phone devices are creating new innovative routes to improve monitoring, delivery, and effectiveness of clinical interventions. In this talk, I will present Drinks: Ration, a smart phone app designed to reduce alcohol misuse in veterans through the application of machine learning and behavioral change theory. This combination enables us to personalize both the content of Drinks: Ration and messaging to promote healthy lifestyle changes in the armed forces community.

    Register in advance for this webinar at:
    https://usc.zoom.us/webinar/register/WN_87CjZnUESYaB5Z1MR18KwA

    After registering, attendees will receive a confirmation email containing information about joining the webinar.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.


    Biography: Dr. Daniel Leightley is a Post-Doctoral Research Associate at the King's Centre for Military Health Research and the NIHR Biomedical Research Centre. His research focuses on the interface between machine learning and mobile health technologies, specifically focused on diagnosis, treatment, intervention and management of physical and mental health conditions.


    Host: USC Center for Artificial Intelligence in Society (CAIS)

    Webcast: https://usc.zoom.us/webinar/register/ WN_87CjZnUESYaB5Z1MR18KwA

    Location: Online Zoom Webinar

    WebCast Link: https://usc.zoom.us/webinar/register/ WN_87CjZnUESYaB5Z1MR18KwA

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

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